return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);

## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-as-a-container.html) MinIO deployment.

  }

  private static class Counter<N extends Number> {
    @Keep List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

 * </p>
 *
 * <p>
 * The class is a singleton, and is injected using the {@link Resource} annotation.
 * </p>
 *
 */
public class DataServiceImpl implements DataService<AccessResultImpl<Long>> {

    /** Counter for generating unique IDs */
    protected static volatile long idCount = 0L;

    /** Lock object for synchronizing access to idCount */
    private static Object idCountLock = new Object();

            byte[] buf = BufferCache.getBuffer();
            BufferCache.releaseBuffer(buf);
        }

        // 3. Atomic Operations Test
        AtomicLong counter = new AtomicLong(0);
        for (int i = 0; i < 1000; i++) {
            counter.addAndGet(1024);
        }

        long end = System.nanoTime();
        double totalTimeMs = (end - start) / 1_000_000.0;

    private static final java.util.concurrent.ConcurrentLinkedQueue<byte[]> bufferQueue =
            new java.util.concurrent.ConcurrentLinkedQueue<>();

    // Track queue size with atomic counter for efficiency
    private static final java.util.concurrent.atomic.AtomicInteger queueSize = new java.util.concurrent.atomic.AtomicInteger(0);

    /**

            final int maxDepth = getMaxDepth(paramMap, dataMap);
            long counter = 0;
            final Deque<CrawlRequest> requestQueue = new LinkedList<>();
            final Set<String> processedUrls = new HashSet<>();
            requestQueue.offer(new CrawlRequest(url, 0));
            while (!requestQueue.isEmpty() && (maxAccessCount < 0 || counter < maxAccessCount)) {
                final CrawlRequest crawlRequest = requestQueue.poll();

	listener      *httpListener // HTTP listener for all 'Addrs' field.
	inShutdown    uint32        // indicates whether the server is in shutdown or not
	requestCount  int32         // counter holds no. of request in progress.
}

// GetRequestCount - returns number of request in progress.
func (srv *Server) GetRequestCount() int {
	return int(atomic.LoadInt32(&srv.requestCount))
}

   * exception is thrown, this exception is used as the result of the output {@code Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }

        @Test
        @DisplayName("Should handle typical Windows NTFS configuration")
        void shouldHandleTypicalNTFSConfiguration() throws SMBProtocolDecodingException {
            // Given - typical NTFS: 4KB clusters (8 sectors * 512 bytes)
            long totalClusters = 26214400L; // 100GB / 4KB
            long freeClusters = 13107200L; // 50GB / 4KB

            ByteBuffer buffer = ByteBuffer.allocate(32);